Perception of wine labels by generation Z: eye-tracking experiment


  • Stanislav Mokrý Mendel University in Brno, Department of Marketing and Trade, Zemědělská 1, 613 00 Brno Czech Republic
  • Nada Birčiaková Departmenet of Marketing and Trade, Mendel university in Brno, Zemedelska 1, 61300 Brno
  • Tereza Slováčková Mendel University in Brno, Department of Marketing and Trade, Zemědělská 1, 613 00 Brno
  • Jana Stávková Mendel University in Brno, Department of Marketing and Trade, Zemědělská 1, 613 00 Brno
  • Ľudmila Nagyová Slovak University of Agriculture, Faculty of Economics and Management, Department of Marketing and Trade, Tr. A. Hlinku 2, 949 76 Nitra



customer, factor, quality, wine, eye-tracking


Product quality is the result of an involved technological process. For the customer, product quality is not easy to grasp and the decision to buy the product is more influenced by the customer's perception of quality than by quality itself. It is therefore the result of many factors making an impression on the customer, their personal taste and the mood of the moment. The role of marketing is to understand the factors that have a customer impact. We need to identify the factors the customer is aware of and is able to communicate. Yet there are also a number of factors at play that affect the customer without their being aware of it. The aim of the paper is to get to know customer behaviour not just through the factors the customer communicates (answering questions) but to seek new methods that allow an objective examination of the customer's stimulus response, in our research case, using eye-tracking technology. The research study was conducted by way of an experiment with concurrent questioning in June 2016. There were 44 respondents taking part in the experiment, aged from 19 to 25 (Generation Z). The experiment set out to identify the importance of various visual attributes of a bottle of white wine, using a total of 7 stimuli.  The experiment was carried out using the method called A/B testing, whereby one half of the respondents (A) was shown the original version of the stimulus and the second half (B) the modified stimulus. The eye-tracking research was carried out using remote eye-tracker SMI RED 250 at a sampling frequency of 125 Hz. In answering questions, the respondents evaluated the importance of the factors of price, type, awards, the shape and colour of the bottle and information on the label, i.e. information about the producer (maker) of the wine, wine variety, wine-growing region, country of origin, year of vintage and the sugar content indication. The paper concludes with a summary of the respective importance of the individual visual attributes that Generation Z consumers are most influenced by, when purchasing bottled white wine.



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Bojko, A. 2013. Eye tracking the user experience: a practical guide to research. BROOKLYN, NEW YORK: Rosenfeld Media, XIV. 304 p. ISBN 19-338-2010-1.

Charters, S., Pettigrew, S. 2007. The dimensions of wine quality. Food Quality and Preference, vol. 18, no. 7, p. 997-1007. DOI:

Czech Statistical Office. 2015. Spotřeba alkoholických nápojů a cigaret na obyvatele za rok (In Czech)) (The consumption of alcoholic drinks and cigarette per inhabitant and year) [online] s.a. [cit. 2015-08-21] Available at:

Di Vita, G., Chinnici, G., D'Amico, M. 2014. Clustering attitudes and behaviours of Italian wine consumers. Quality - Access to Success, vol. 15, no. 139, p. 54-61.

Ilin, I., Shestova, T. 2014. Z-Generation. Value Inquiry Book Series, vol. 276, p. 500-500.

Kotler, P., Armstrong, G. 2012. Principles of Marketing. 14th ed. BOSTON: Pearson Prentice Hall, 744 p. ISBN 0132167123.

Ling, B. H., Lockshin, L. 2003. Components of Wine Prices for Australian Wine: How Winery Reputation, Wine Quality, Region, Vintage, and Winery Size Contribute to the Price of Varietal Wines. Australasian Marketing Journal, vol. 11, no. 3, p. 19-32. DOI:

Moskowitz, H. R., Reisner, M., Lawlor, J. B., Deliza, R. 2009. Packaging Research in Food Product Design and Development. SINGAPORE: John Wiley & Sons, 264 p. ISBN 978-0-8138-1222-9. DOI:

Mueller, S., Lockshin, L., Saltman, Y., Blanford, J. 2010. Clustering attitudes and behaviours of Italian wine consumers Food Quality and Preference, vol. 21, p. 22-32. DOI:

Pernice, K., Nielsen, J. 2009. How to Conduct Eyetracking Studies. USA: Nielsen Norman Group, 159 p. Available at:

Scollary, G. R. 2016. Wine labels. Chemistry in Australia. p. 39-39.

SMI. BeGaze manual: Version 3.3. Teltow, Germany, March 2013, 228 p. Document number: 091222-P-1400-001-000-A.

Czech Agriculture and Food Inspection Authority. 2015. Označování vína podle platných právních předpisů (In Czech) (Wine labelling according to the valid legislation). [online] s.a. [cit. 2016-07-04] Available at:

Stávková, J., Stejskal, L., Toufarová, Z. 2008. Factors influencing consumer behaviour. Agricultural Economics, vol. 54, no. 6, p. 27-34. DOI:

Tang, V. Ch. M., Tchetchik, A., Cohen. E. 2015. Perception of wine labels by Hong Kong Chinese consumers. Wine Economics and Policy. vol. 4, p. 12-21. DOI:

Wang, R. W. Y., Chou, M. C. 2011. The Comprehension modes of visual elements: How people know about the contents by product packaging. International Journal of Business Research and Management, vol. 1, no. 1, p. 1-13.




How to Cite

Mokrý, S. ., Birčiaková, N. ., Slováčková, T. ., Stávková, J. ., & Nagyová, Ľudmila . (2016). Perception of wine labels by generation Z: eye-tracking experiment. Potravinarstvo Slovak Journal of Food Sciences, 10(1), 524–531.

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